Temporal and Spatial Analysis of Coastal Landscape Patterns Using the GEE Cloud Platform and Landsat Time Series

IF 4.7 2区地球科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Pub Date : 2024-10-03 DOI:10.1109/JSTARS.2024.3473937

Chao Chen;Jintao Liang;Taohua Ren;Yi Wang;Zhisong Liu

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引用次数: 0

Abstract

Owing to the rapid urbanization combined with global climate change, dramatic land-use change in coastal watersheds is occurred, which, in turn, cause the evolution of landscape patterns and threaten the valuable but fragile ecosystem. The coastal zone is characterized by severe cloud cover, frequent changes in land type, and fragmented landscape, so it is challenging to carry out the accurate landscape patterns analysis. To address this problem, this study employed the Google Earth engine cloud platform, Landsat time series, and landscape metrics in the Fragstats model to develop a comprehensive framework that integrates landscape pattern metrics and spatial analysis methods, considering both type level and landscape level. The Hangzhou Bay region was selected for conducting land-use classification and landscape patterns analysis. The results indicate that, during nearly four decades, with the continuous expansion of the urban, the urbanization process has accelerated, and the construction land has expanded by 6.93 times. By analyzing the evolution of landscape patterns, Hangzhou Bay heightened landscape fragmentation and patch shapes became more irregular caused by a trend toward intensified urbanization. The Shannon's diversity index continuously increased from 1.14 to 1.51, while the contagion index consistently decreased from 59.83% to 42.21%, suggesting an increase in land-use diversity, reduced aggregation, and extension tendencies between land patches, along with a decrease in the proportion of highly connected patches within the landscape. This study is anticipated to provide robust evidence for the rational planning of future development directions and the deployment of landscape ecological spatial services.

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利用 GEE 云平台和大地遥感卫星时间序列对沿海景观模式进行时空分析

由于快速的城市化和全球气候变化，沿海流域的土地利用发生了剧烈变化，这反过来又引起了景观格局的演变，威胁着宝贵而脆弱的生态系统。沿海地带云雾缭绕、土地类型变化频繁、地貌破碎，因此要进行准确的景观格局分析具有挑战性。针对这一问题，本研究利用谷歌地球引擎云平台、大地遥感卫星时间序列和 Fragstats 模型中的景观尺度，建立了一个综合框架，将景观格局尺度和空间分析方法融为一体，同时考虑了类型层面和景观层面。研究选取杭州湾地区进行土地利用分类和景观格局分析。结果表明，近四十年来，随着城市规模的不断扩大，城市化进程加快，建设用地扩大了 6.93 倍。通过对景观格局演变的分析，杭州湾在城市化进程加剧的趋势下，景观破碎化加剧，斑块形状更加不规则。香农多样性指数从 1.14 持续上升到 1.51，而传染指数则从 59.83% 持续下降到 42.21%，这表明土地利用多样性增加，土地斑块之间的聚集和扩展趋势减弱，景观中高度连接斑块的比例下降。这项研究有望为合理规划未来发展方向和配置景观生态空间服务提供有力证据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 地学-成像科学与照相技术

CiteScore

9.30

自引率

10.90%

发文量

563

审稿时长

4.7 months

期刊介绍： The IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing addresses the growing field of applications in Earth observations and remote sensing, and also provides a venue for the rapidly expanding special issues that are being sponsored by the IEEE Geosciences and Remote Sensing Society. The journal draws upon the experience of the highly successful “IEEE Transactions on Geoscience and Remote Sensing” and provide a complementary medium for the wide range of topics in applied earth observations. The ‘Applications’ areas encompasses the societal benefit areas of the Global Earth Observations Systems of Systems (GEOSS) program. Through deliberations over two years, ministers from 50 countries agreed to identify nine areas where Earth observation could positively impact the quality of life and health of their respective countries. Some of these are areas not traditionally addressed in the IEEE context. These include biodiversity, health and climate. Yet it is the skill sets of IEEE members, in areas such as observations, communications, computers, signal processing, standards and ocean engineering, that form the technical underpinnings of GEOSS. Thus, the Journal attracts a broad range of interests that serves both present members in new ways and expands the IEEE visibility into new areas.